Partially Identified Poverty Status: A New Approach to Measuring Poverty and the Progress of the Poor
AbstractPoverty measurement and the analysis of the progress (or otherwise) of the poor is beset with difficulties and controversies surrounding the definition of a poverty line or frontier. Here, using ideas from the partial identification literature and mixture models, a new approach to poverty measurement is proposed which avoids specifying a frontier, the price is that an agent's poverty status is only partially identified. Invoking variants of Gibrat's law to give structure to the distribution of outcomes for homogeneous subgroups of a population within the context of a finite mixture model of societal outcomes facilitates calculation of the probability of an agent's poverty status. From this it is straightforward to calculate all the usual poverty measures as well as other characteristics of the poor and non poor subgroups in a society. These ideas are exemplified in a study of 47 countries in Africa over the recent quarter century which reveals among other things a growing poverty rate and a growing disparity between poor and non poor groups not identified by conventional methods.
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Bibliographic InfoPaper provided by University of Toronto, Department of Economics in its series Working Papers with number tecipa-421.
Length: 28 pages
Date of creation: 20 Jan 2011
Date of revision:
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Poverty Frontiers; Mixture Models; Gibrat\'s law; Partial Identification;
Find related papers by JEL classification:
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- I32 - Health, Education, and Welfare - - Welfare and Poverty - - - Measurement and Analysis of Poverty
- O1 - Economic Development, Technological Change, and Growth - - Economic Development
This paper has been announced in the following NEP Reports:
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Duclos, Jean-Yves & Sahn, David & Younger, Stephen D., 2001.
"Robust Multidimensional Poverty Comparisons,"
Cahiers de recherche
0115, Université Laval - Département d'économique.
Blog mentionsAs found by EconAcademics.org, the blog aggregator for Economics research:
- Partially Identified Poverty Status: A New Approach to Measuring Poverty and the Progress of the Poor
by maximorossi in NEP-LTV blog on 2011-02-01 15:31:06
- Anderson, Gordon, 2011. "Polarization measurement and inference in many dimensions when subgroups can not be identified," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy, vol. 5(11), pages 1-19.
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